Comparison
DeepSpeed vs whisper-timestamped
Verdict
Pick DeepSpeed when license: DeepSpeed is Apache-2.0, whisper-timestamped is AGPL-3.0; pick whisper-timestamped when license: whisper-timestamped is AGPL-3.0, DeepSpeed is Apache-2.0.
Markdown twin · DeepSpeed alternatives · whisper-timestamped alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | DeepSpeed | whisper-timestamped |
|---|---|---|
| Maintenance | Very active (0d since push) As of today · github_public_v1 | Slowing (305d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| Security (OSV) | No lockfile As of today · none | No criticals As of today · osv@v1 |
Tagline
- DeepSpeed
- Deep learning optimization library for efficient distributed training and inference
- whisper-timestamped
- Multilingual Automatic Speech Recognition with word-level timestamps and confidence
Stars
- DeepSpeed
- 43k
- whisper-timestamped
- 2.8k
Forks
- DeepSpeed
- 4.9k
- whisper-timestamped
- 210
Open issues
- DeepSpeed
- 1.3k
- whisper-timestamped
- 49
Language
- DeepSpeed
- Python
- whisper-timestamped
- Python
Adopt for
- DeepSpeed
- Decisions for DeepSpeed use are driven by its capacity to handle large models efficiently using techniques such as data parallelism, model parallelism, pipeline parallelism, and compression.
- whisper-timestamped
- -
Persona
- DeepSpeed
- -
- whisper-timestamped
- -
Runtime
- DeepSpeed
- -
- whisper-timestamped
- -
License
- DeepSpeed
- Apache-2.0
- whisper-timestamped
- AGPL-3.0
Last pushed
- DeepSpeed
- Jul 11, 2026
- whisper-timestamped
- Sep 9, 2025
Categories
- DeepSpeed
- Model Training, Inference & Serving
- whisper-timestamped
- Model Training, Inference & Serving, Speech & Audio
Trust and health
Maintenance
- DeepSpeed
- Very active (96%)
- whisper-timestamped
- Slowing (36%)
Days since push
- DeepSpeed
- 0d
- whisper-timestamped
- 305d
Open issues (now)
- DeepSpeed
- 1.3k
- whisper-timestamped
- 49
Security scan
- DeepSpeed
- No lockfile
- whisper-timestamped
- No criticals
Full report
- DeepSpeed
- Trust report
- whisper-timestamped
- Trust report
Choose DeepSpeed if…
- License: DeepSpeed is Apache-2.0, whisper-timestamped is AGPL-3.0.
- Tags unique to DeepSpeed: gpu, compression, machine-learning, billion-parameters.
- - When training or inferring with PyTorch on large datasets or complex deep learning models (up to trillion parameters)
When NOT to use DeepSpeed
- - When you are working in an environment that only supports CPU-based training without access to CUDA or ROCm compatible GPUs
- - If your project's PyTorch version is less than 2.0, DeepSpeed may not support all of its features and optimizations effectively
Choose whisper-timestamped if…
- License: whisper-timestamped is AGPL-3.0, DeepSpeed is Apache-2.0.
- Tags unique to whisper-timestamped: asr, attention-seq2seq, attention-model, attention-mechanism.
- Also covers Speech & Audio.
- whisper-timestamped ships Docker support for self-hosted deployment.
When NOT to use whisper-timestamped
- Last GitHub push was 306 days ago (slowing maintenance, Sep 9, 2025). Validate activity before betting a new project on whisper-timestamped.
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
- Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (deepspeedai/DeepSpeed) · observed Jul 11, 2026
- GitHub forks (deepspeedai/DeepSpeed) · observed Jul 11, 2026
- Last push (deepspeedai/DeepSpeed) · observed Jul 11, 2026
- License file (Apache-2.0) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (linto-ai/whisper-timestamped) · observed Jul 11, 2026
- GitHub forks (linto-ai/whisper-timestamped) · observed Jul 11, 2026
- Last push (linto-ai/whisper-timestamped) · observed Sep 9, 2025
- License file (AGPL-3.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: DeepSpeed 43k · whisper-timestamped 2.8k (synced Jul 11, 2026).
Common questions
- What is the difference between DeepSpeed and whisper-timestamped?
- DeepSpeed: Deep learning optimization library for efficient distributed training and inference. whisper-timestamped: Multilingual Automatic Speech Recognition with word-level timestamps and confidence. See the comparison table for live GitHub stats and shared categories.
- When should I choose DeepSpeed over whisper-timestamped?
- Choose DeepSpeed over whisper-timestamped when License: DeepSpeed is Apache-2.0, whisper-timestamped is AGPL-3.0; Tags unique to DeepSpeed: gpu, compression, machine-learning, billion-parameters; - When training or inferring with PyTorch on large datasets or complex deep learning models (up to trillion parameters).
- When should I choose whisper-timestamped over DeepSpeed?
- Choose whisper-timestamped over DeepSpeed when License: whisper-timestamped is AGPL-3.0, DeepSpeed is Apache-2.0; Tags unique to whisper-timestamped: asr, attention-seq2seq, attention-model, attention-mechanism; Also covers Speech & Audio; whisper-timestamped ships Docker support for self-hosted deployment.
- When should I avoid DeepSpeed?
- - When you are working in an environment that only supports CPU-based training without access to CUDA or ROCm compatible GPUs - If your project's PyTorch version is less than 2.0, DeepSpeed may not support all of its features and optimizations effectively
- When should I avoid whisper-timestamped?
- Last GitHub push was 306 days ago (slowing maintenance, Sep 9, 2025). Validate activity before betting a new project on whisper-timestamped. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
- Is DeepSpeed or whisper-timestamped more popular on GitHub?
- DeepSpeed has more GitHub stars (42,685 vs 2,823). Stars measure visibility, not whether either tool fits your constraints.
- Are DeepSpeed and whisper-timestamped open source?
- Yes - both are open-source projects on GitHub (DeepSpeed: Apache-2.0, whisper-timestamped: AGPL-3.0).
- Where can I find alternatives to DeepSpeed or whisper-timestamped?
- GraphCanon lists graph-backed alternatives at DeepSpeed alternatives and whisper-timestamped alternatives (DeepSpeed markdown twin, whisper-timestamped markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, DeepSpeed or whisper-timestamped?
- DeepSpeed: Very active. whisper-timestamped: Slowing. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for DeepSpeed and whisper-timestamped?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: DeepSpeed trust report; whisper-timestamped trust report.